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Authors: Mohak Chadha, Alexander Jensen, Jianfeng Gu, Osama Abboud (Huawei MRC), and Michael Gerndt Abstract: Federated Learning (FL) is an emerging machine learning paradigm that enables the collaborative training of a shared global model across distributed clients while keeping the data…

The paper from David Hildenbrand, Martin Schulz and Nadav Amit won a distinguished artifact award. It is freely accessible on the ACM Digital Library for one month. Link. https://asplos-conference.org/

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Am Montag den 11.01.2016 von 12:15 Uhr bis 13:45 hält Herr Dr. Herbert Cornelius, Intel GmbH im Interimshörsaal 1 einen Vortrag mit dem Titel…

On January 19,2016 Carsten Trinitis and Josef Weidendorfer run a COSH Workshop on Co-Scheduling of HPC Applications at HiPEAC 2016 Prague, Czech…

The Periscope team gave a half-day tutorial on "Automatic Performance & Energy Tuning with the Periscope Tuning Framework" at this year's…

Mit Wirkung zum 01.10.2015 ist Dr.-Ing. Carsten Trinitis zum Vertrauensdozenten der Gesellschaft für Informatik (GI) an der TU München ernannt worden.…

On September 1st, the Horizon 2020 project Run-time Exploitation of Application Dynamism for Energy-efficient Exascale computing (READEX) started…

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Paper titled “Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments" got accepted at IEEE/ACM CCGrid’24.

Paper titled “Copy-on-Pin: The Missing Piece for Correct Copy-on-Write" won a Distinguished Artifact Award at ASPLOS'23

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Vortrag Aktuelle Prozessoren Architekturen, Dr. Herbert Cornelius, Intel GMBH

COSH Workshop on Co-Scheduling of HPC Applications HiPEAC 2016 Prague

Autotuning Tutorial on SC15

Dr.-Ing. Carsten Trinitis zum Vertrauensdozenten der Gesellschaft für Informatik (GI) an der TU München ernannt

EU project READEX started